Agents

What is the complexity of this task?

Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools.

Examples:
- Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).
- Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review).
- Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments).

Please select the appropriate complexity level for this task and explain why.

This task is **easy**. It only requires determining tomorrow’s date and querying available flights — both of which have dedicated, reliable tools. There’s minimal reasoning

Reasoning: To determine the complexity of this task, I need to analyze the given context and apply the criteria mentioned in the task description about task complexity levels.

From the context, I can see:

1. The trigger is a user request to find flights from London to Paris for tomorrow.
2. The trajectory shows this is already in progress - the agent has determined tomorrow's date (2025-05-29) using the calendar tool.
3. The current cycle is 3, and from the scratch pad, I can see this is step 2 of 4 in the overall plan.
4. Available tools include: calendar, flights, and web_search.
5. The scratch pad indicates the remaining steps are to use the flights tool and then compile/present results.

Looking at the complexity criteria:

**Easy complexity** requires:
- A small number of clear steps
- Dedicated tools exist
- Minimal reasoning needed

**Medium complexity** requires:
- Several steps
- Combining many outputs from multiple tools (more than 4)
- Moderate reasoning

**Complex complexity** requires:
- Many steps
- Adaptive planning
- Potential missing data or tool failures
- Fallback strategies required

Analyzing this task:
- It has a clear, linear sequence of steps (get tomorrow's date → search flights → present results)
- Dedicated tools exist for both required operations (calendar and flights)
- It requires minimal reasoning (just connecting the date to the flight search)
- It only uses 2 tools in sequence, not requiring complex combinations of many outputs
- No evidence of need for fallback strategies or adaptive planning

Response: The complexity of this task is Easy. This is because:

1. It involves a small number of clear steps (only 4 steps total according to the scratch pad).
2. Dedicated tools exist specifically for the required operations (calendar tool to get tomorrow's date, flights tool to search flights).
3. Minimal reasoning is needed - the agent simply needs to get tomorrow's date and use it as input for the flight search tool.
4. The workflow is straightforward and linear without complex dependencies.
5. The task doesn't require combining many outputs from multiple tools (only 2 tools are being used).
6. There's no evidence of needing fallback strategies or handling tool failures.

This matches the 'Easy' complexity description: "A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)." In fact, the example given for an easy task directly matches this exact scenario.